Breta Hajek

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Tag: Machine Learning

Importing Multiple TensorFlow Models (Graphs)

Updated 6th March 2018: importing operations by name.

There are a lot of great things about TensorFlow. BUT once I figure out how to import my trained model (graph), I wasn’t able to import second model and use it alongside with the first one. The importing is pretty slow and I don’t want to do it more than once. On the other hand, squashing everything into one model seems to me pretty impractical.

In this tutorial, I will show how to save and import TensorFlow model. Even more, how to import multiple models alongside.

Importing multiple TensorFlow Graphs

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Make Your Habits Come True

Don’t worry, this blog post will not include any stupidly long and heartbreaking story how I become motivated. Instead, I would like to give you some tips from my personal experience how I stick to my new habits. You may not trust me, but keep in mind that I already successfully completed a few on-line courses and I still take new ones ? (just try to google the completion rate of MOOCs).

habits and goals

Photo: Markus Spiske / ffcu.io

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OCR Project Published on GitHub

Jupyter Notebook with OpenCV on Android, Machine Learning

Seriously! I successfully installed Jupyter Notebook with OpenCV on my Android NO-ROOT tablet. This may sound crazy and useless, but I why not? The performance of the tablets these days is exaggerated — thanks game industry — so let’s use it for something meaningful. Personally, I have a solid tablet, but I never really used it. And that will change!

Tutorial is up to date with GNURoot Debian app version 0.6.8.

Android with Jupyter notebook OpenCV - Machine Learning

I really works! Jupyter notebook on Android

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Don’t get stuck, Machine Learning

I heard a lot of stories about people, even whole teams, who works on machine learning problems, getting stuck for whole years trying to solve the problem. And then somebody else came using simple techniques and get much better results! There isn’t any definite way how to overcome such freezes, but we can learn from others mistakes.

Don't get stuck, machine learning

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First Steps, Machine Learning

Let’s start our machine learning journey! This week I started the real work on the project. For those who don’t know, my project will be kind of OCR project, so we will be dealing with images, computer vision, and all sorts of interesting problems. And in this episode we will start getting ready for the machine learning.

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Environment Setup, Machine Learning

Let’s start with something easy—environment setup. Truly, there is not much to set up, yet if you are working on your first machine learning project, you will have to make a few decisions. So, let’s review the tools that I will be using in this project.

Envrionment setup, Python vs Octave

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Big Announcement, Machine Learning

Today, I am starting a new series! You may notice that I recently finished a Machine Learning course on Coursera (definitely recommend it). But here comes the real challenge, put my skill into real use! I’m going to participate in the local project competition so-called SOČ (i.e. high school professional activity). So, I’m starting a new series about my project related to the machine learning.

machine learning

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